Skip to content

Doc: prepare for v0.13.0 #269

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
mrava87 merged 1 commit into from
Oct 3, 2026
Merged

Doc: prepare for v0.13.0 #269

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 15 additions & 2 deletions CHANGELOG.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,13 +1,26 @@
Changelog
=========

# 0.13.0

* Added ``pyproximal.optimization.red.RED`` solver.
* Added ``pyproximal.proximal.RED`` operator.
* Added class-based solvers in ``pyproximal.optimization.cls_primal`` and ``pyproximal.optimization.cls_primaldual``.
* Added ``tau`` and ``mu`` optional parameters to ``pyproximal.optimization.segmentation.Segment`` solver.
* Added support for ``sigma`` vector in ``pyproximal.proximal.L1``.
* Added ``numba-cuda`` to optional dependencies.
* Fixed ``pyproximal.projection.L1BallProj`` to preserve feasible inputs .
preserve feasible inputs in L1 ball projection
* Fixed handling of complex-valued inputs in ``pyproximal.proximal.L21`` and ``pyproximal.proximal.L21_plus_L1``.


# 0.12.0

* Added ``pyproximal.optimization.primal.ConsensusADMM``
and ``pyproximal.optimization.primal.PPXA`` solvers
* Modified role of x and y in
``pyproximal.optimization.primal.DouglasRachfordSplitting``
* Fix norm computation in ``pyproximal.proximal.L1`` for
* Fixed norm computation in ``pyproximal.proximal.L1`` for
2D-arrays

# 0.11.1
Expand Down Expand Up @@ -113,7 +126,7 @@ Changelog
* Added classes standard deviation in
``pyproximal.optimization.segmentation.Segment`` solver
* Added `chain` method ``pyproximal.ProxOperator``
* Fix ``pyproximal.proximal.Orthogonal`` by introducing `alpha`
* Fixed ``pyproximal.proximal.Orthogonal`` by introducing `alpha`
in the proximal evaluation

# 0.1.0
Expand Down
21 changes: 20 additions & 1 deletion docs/source/changelog.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,26 @@
|:newspaper_roll:| Changelog
############################

Version 0.12.1

Version 0.13.0
--------------
*Released on: 30/10/2026*

* Added :py:class:`pyproximal.optimization.red.RED` solver.
* Added :py:class:`pyproximal.proximal.RED` operator.
* Added class-based solvers in :py:mod:`pyproximal.optimization.cls_primal`
and :py:mod:`pyproximal.optimization.cls_primaldual`.
* Added ``tau`` and ``mu`` optional parameters to
:py:class:`pyproximal.optimization.segmentation.Segment` solver.
* Added support for ``sigma`` vector in :py:class:`pyproximal.proximal.L1`.
* Added ``numba-cuda`` to optional dependencies.
* Fixed :py:class:`pyproximal.projection.L1BallProj` to preserve feasible inputs .
preserve feasible inputs in L1 ball projection
* Fixed handling of complex-valued inputs in :py:class:`pyproximal.proximal.L21`
and :py:class:`pyproximal.proximal.L21_plus_L1`.


Version 0.12.0
--------------
*Released on: 18/04/2026*

Expand Down
Loading